Junior / Intermediate Technical Business & Data Analyst

Network Recruitment; Johannesburg; On-site; ZAR 420,000 - 660,000; Full time

Job summary

Network Recruitment in South Africa seeks an adaptable Analyst to bridge business needs and technical solutions. You will translate requirements into specs, analyse processes, and design scalable workflows across data, AI, and product domains.

You will query data with SQL, validate data quality, and support dashboards, reports, and integrations. Advanced analytics and AI concepts are valued to drive product decisions and automation.

Qualifications

• Experience in business analysis, systems analysis, data analysis, or a related technical role.
• Practical experience using SQL to query, investigate, and validate data.
• Experience gathering requirements and documenting business processes.
• Understanding of relational databases, reporting, APIs, and the software development lifecycle.
• Strong logical and analytical problem-solving abilities.
• For intermediate-level candidates, the ability to work independently with data and take ownership of requirements or features.

Responsibilities

• Gather, analyse, and translate business requirements into functional specifications.
• Analyse business processes, system behaviour, workflows, and data flows.
• Design scalable solutions, workflows, and business rules.
• Conduct impact and feasibility assessments.
• Collaborate with Developers, QA, Product, and Operations throughout the software development lifecycle.
• Review completed solutions against business and functional requirements.
• Query, investigate, and analyse data using SQL.
• Identify trends, patterns, anomalies, and data quality issues.
• Perform data validation, mapping, and root-cause investigations.
• Analyse data used within reports, dashboards, workflows, and integrations.
• Use data to support product, business, and solution decisions.
• Identify opportunities to apply AI, ML, and predictive analytics.
• Prepare and analyse datasets for modelling.
• Assist with feature identification, model development, testing, and evaluation.
• Contribute to AI proof-of-concepts and experimentation.
• Assist with integrating predictive models and AI outputs into products and workflows.
• Research emerging AI technologies and potential business use cases.
• Assist with feature design, backlog refinement, and prioritisation.
• Analyse APIs, integrations, data structures, and system interactions.
• Assist with integration requirements and data mappings.
• Contribute to product roadmap and continuous improvement discussions.
• Research and experiment with new technologies and automation opportunities.
• Intermediate candidates may take ownership of specific features, projects, or product areas.
• Produce clear and practical functional and technical documentation.
• Document process and system flows.
• Develop data mappings and integration specifications.
• Maintain product and user documentation.
• Document AI models, research, and proof-of-concept activities.

Skills

Business analysis

Systems analysis

SQL

Data analysis

Requirements gathering

Functional specifications

SDLC

Process mapping

Reporting and analytics

API and integration fundamentals

Excel

Python

AI and ML concepts

REST APIs

Git/GitHub

Dashboards and data visualisation

Generative AI

Data preparation and transformation

Workflow and automation platforms

Education

Bachelor's degree

Tools

SQL

Excel

Python

REST APIs

Git/GitHub

Grafana

Job description

Key Responsibilities:

Business & Systems Analysis Gather, analyse, and translate business requirements into functional specifications. Analyse business processes, system behaviour, workflows, and data flows. Design scalable solutions, workflows, and business rules. Conduct impact and feasibility assessments. Collaborate with Developers, QA, Product, and Operations throughout the software development lifecycle. Review completed solutions against business and functional requirements.

Data Analysis & Technical Investigation Query, investigate, and analyse data using SQL. Identify trends, patterns, anomalies, and data quality issues. Perform data validation, mapping, and root-cause investigations. Analyse data used within reports, dashboards, workflows, and integrations. Use data to support product, business, and solution decisions.

AI, Predictive Analytics & Model Development Identify opportunities to apply AI, Machine Learning, and predictive analytics. Prepare and analyse datasets for modelling. Assist with feature identification, model development, testing, and evaluation. Contribute to AI proof-of-concepts and experimentation. Assist with integrating predictive models and AI outputs into products and workflows. Research emerging AI technologies and potential business use cases.

Product, Systems & Integrations Assist with feature design, backlog refinement, and prioritisation. Analyse APIs, integrations, data structures, and system interactions. Assist with integration requirements and data mappings. Contribute to product roadmap and continuous improvement discussions. Research and experiment with new technologies and automation opportunities.

Intermediate candidates may take ownership of specific features, projects, or product areas.

Documentation Produce clear and practical functional and technical documentation. Document process and system flows. Develop data mappings and integration specifications. Maintain product and user documentation. Document AI models, research, and proof-of-concept activities.

Requirements:

Bachelors degree or relevant tertiary qualification in: Information Systems Informatics Computer Science Data Science Business Information Technology Business Analytics Or a related field. Relevant equivalent experience will also be considered.

Experience in business analysis, systems analysis, data analysis, or a related technical role. Practical experience using SQL to query, investigate, and validate data. Experience gathering requirements and documenting business processes. Understanding of relational databases, reporting, APIs, and the software development lifecycle. Strong logical and analytical problem-solving abilities. For intermediate-level candidates, the ability to work independently with data and take ownership of requirements or features.

Technical Skills:

Core:

Business and/or Systems Analysis SQL and Data Analysis Requirements Gathering Functional Specifications Software Development Lifecycle Process Mapping Reporting and Analytics API and Integration Fundamentals Excel or similar analytical tools

Highly Desirable:

Python AI and Machine Learning concepts Predictive modelling Data preparation and transformation REST APIs and JSON Workflow and automation platforms Git/GitHub Dashboards and data visualisation Generative AI and Large Language Models

Advantageous:

PHP GraphQL Grafana AI APIs and prompt engineering Experience working with large datasets or data-driven prototypes

The Opportunity:

This role offers the opportunity to work across the full journey of: Business Systems Data Product AI